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All publications by Yao-liang Yu
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Polar Operators for Structured Sparse Estimation
Xinhua Zhang, Yao-liang Yu and Dale Schuurmans
Advances in Neural Information Processing Systems 26, 2013


Better Approximation and Faster Algorithm Using the Proximal Average
Yao-liang Yu
Advances in Neural Information Processing Systems 26, 2013


On Decomposing the Proximal Map
Yao-liang Yu
Advances in Neural Information Processing Systems 26, 2013


Accelerated Training for Matrix-norm Regularization: A Boosting Approach
Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Advances in Neural Information Processing Systems 25, 2012


A Polynomial-time Form of Robust Regression
Ozlem Aslan, Dale Schuurmans and Yao-liang Yu
Advances in Neural Information Processing Systems 25, 2012


Convex Multi-view Subspace Learning
Martha White, Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Advances in Neural Information Processing Systems 25, 2012


Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations
James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Analysis of Kernel Mean Matching under Covariate Shift
Yao-liang Yu and Csaba Szepesvári
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Relaxed Clipping: A Global Training Method for Robust Regression and Classification
Min Yang, Linli Xu, Martha White, Dale Schuurmans and Yao-liang Yu
Advances in Neural Information Processing Systems 23, 2010


A General Projection Property for Distribution Families
Yao-liang Yu, Yuxi Li, Dale Schuurmans and Csaba Szepesvári
Advances in Neural Information Processing Systems 22, 2009